MLOps Engineer Intern: Automate ML Pipelines & Monitoring

Globe; Philippines; On-site; PHP 167,000 - 279,000; Full time

Job summary

Globe is seeking an MLOps Engineer Intern to assist in developing, automating, and maintaining MLOps pipelines and platform components for enterprise AI/ML deployment. You will focus on model deployment, pipeline automation, monitoring, feature management, and AI platform integration with senior engineers.

The role covers ML pipeline automation, monitoring & QA, feature store & engineering, and GenAI Ops with MLflow integration and Python modules.

Qualifications

• Pursuing a degree in Computer Science, IT, Computer Engineering, Data Science, or a related technical field.

Responsibilities

• Automate data prep, model scoring, and retraining workflows via Databricks.
• Monitor model validation, data quality checks, and drift detection.
• Develop reusable feature pipelines and datasets using Snowflake, Databricks & Iceberg.
• Integrate MLflow and support agent deployment workflows; create reusable Python modules.

Skills

Python

SQL

ML concepts

Git

Cloud platforms

Databricks

Snowflake

MLflow

Spark

REST APIs

CI/CD

Education

CS/IT/CE/Data Science (final year or above)

Tools

Databricks

Snowflake

MLflow

Spark

Job description

Globe is seeking an MLOps Engineer Intern to assist in developing, automating, and maintaining MLOps pipelines and platform components for enterprise AI/ML deployment. You will focus on model deployment, pipeline automation, monitoring, feature management, and AI platform integration with senior engineers.

The role covers ML pipeline automation, monitoring & QA, feature store & engineering, and GenAI Ops with MLflow integration and Python modules.